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Oleg Żero
Oleg Żero

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Published in Towards Data Science

·Pinned

How to write better scientific code in Python

Few tips on how to write better code for data science using python and numpy. We use a custom case to show good patterns. — Introduction A large part of any scientific effort lies down in writing code. Be it typical machine-learning modeling, an analysis, or contributing to a data project, a significant part of the time goes into prototyping new functionalities. …

Python

11 min read

How to write better scientific code in Python?
How to write better scientific code in Python?
Python

11 min read


Published in Towards Data Science

·Pinned

Data Scientists’ Baptisms of Fire

What are the most important turning points in a data scientist’s journey? — It is not easy to tell when does exactly a data science cadet becomes an actual data scientist. Unlike in the army, we do not have distinct ranks that would correlate with seniority. Neither is a career path of a data scientist linear. …

Data Science

6 min read

Data Scientists’ baptisms of fire
Data Scientists’ baptisms of fire
Data Science

6 min read


Published in Towards Data Science

·Pinned

Non-Tech Skills that Make You Unsinkable in Tech

On the benefits of building trust, precision, and awareness of one’s skills — I want to expand this work into a series of µ-tutorial videos. If you’re interested, please subscribe to my newsletter to stay in touch. The tech world surrounds us. It penetrates nearly every aspect of our lives not only through devices and services that we use, but it also affects…

Programming

6 min read

Non-tech skills that make you unsinkable in tech
Non-tech skills that make you unsinkable in tech
Programming

6 min read


Published in Towards Data Science

·Pinned

Why use SQL before using Pandas?

I want to expand this work into a series of µ-tutorial videos. If you’re interested, please subscribe to my newsletter to stay in touch. Introduction Data analysis is one of the most essential steps in any data-related project. Regardless of the context (e.g. business, machine-learning, physics, etc.), there are many ways…

Data Analysis

11 min read

Why use SQL before using Pandas?
Why use SQL before using Pandas?
Data Analysis

11 min read


Published in Towards Data Science

·Pinned

Run Jupyter Lab on Google Colaboratory

Simple usage of a reverse SSH tunnel for to greatly improve the usability. — Introduction It’s been quite some time since we wrote on any “engineering-like” topic. As we all want to stay efficient and productive, it is a good time to revisit Google Colaboratory. Google Colaboratory, or Colab for short, has been a great platform for data scientists or machine-learning enthusiasts in general. It…

Python

7 min read

Run Jupyter Lab on Google Colaboratory
Run Jupyter Lab on Google Colaboratory
Python

7 min read


Published in Towards Data Science

·Nov 29, 2022

How to Handle an Autoregressive Model over Multiple Time Series

Use factory pattern to design the code and avoid the data leakage — Introduction Autoregressive models are among the “more difficult” to implement when it comes to data preparation. As the models are expected to yield daily or hourly predictions, the datasets themselves are expected to grow and expand with every new observation requiring the models to undergo regular retraining. …

Python

10 min read

How to Handle an Autoregressive Model over Multiple Time Series
How to Handle an Autoregressive Model over Multiple Time Series
Python

10 min read


Published in Towards Data Science

·Jun 21, 2022

Convenient Scheduler in Python

A small-scale convenient approach to scheduling ETL tasks with python. — Introduction Python has become an all-purpose language. It is especially commonly used in analytics and solving algorithmic problems within data science but is also popular in web development. This combination makes it a reasonable choice for various extract-transform-load (ETL) tasks. However, many of these tasks are rather small and don’t require…

Python

5 min read

Convenient scheduler in python
Convenient scheduler in python
Python

5 min read


Published in Towards Data Science

·Oct 9, 2021

Aggregations on time-series data with Pandas

Python Pandas and SQL — time aggregations and syntax explained. — Introduction Working with time-series data is often a challenge on its own. It is a special kind of data, where data points depend on each other across time. When analyzing it, your productivity at gaining insights to a large extent depends on your ability to juggle with the time dimension. Very…

Data Science

6 min read

Aggregations on time-series data with Pandas
Aggregations on time-series data with Pandas
Data Science

6 min read


Published in Towards Data Science

·Sep 21, 2021

Learn a new technology quickly? — here is how

A few tricks on how to learn quickly — especially in the Data Science world. — Technology is fascinating. It is the missing link that brings tomorrow’s dreams today. It is also an attractive career for many — engineers, managers, entrepreneurs, and all kinds of problem solvers are welcome. Unfortunately, there is also a catch. The catch is the ever-changing technology landscape in combination with an…

Programming

4 min read

Learn a new technology quickly? — here is how
Learn a new technology quickly? — here is how
Programming

4 min read


Published in Towards Data Science

·May 22, 2021

Data analysis practices that make you stand out

Data analysis is by far one of the most frequently occurring tasks in both business and technology. It is the daily bread of thousands of academic researchers, bankers, engineers, and, obviously, data scientists. Interestingly, despite being such a popular activity, there seems to be no agreement on what should be…

Data Science

6 min read

Data analysis — best practices
Data analysis — best practices
Data Science

6 min read

Oleg Żero

Oleg Żero

385 Followers

Data Scientist | https://zerowithdot.com | makes data make sense

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